Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Approximation Capabilities of Neural ODEs and Invertible Residual Networks
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1907.12998.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:30:17.808362Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T11:23:57.065250Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 09165ce8-c81f-4353-93f4-4814e2341db8 · inbound
Deep neural networks, generic universal interpolation, and controlled ODEs cites this paper.
Deep neural networks, generic universal interpolation, and controlled ODEs Approximation Capabilities of Neural ODEs and Invertible Residual Networks
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:28:04.394919Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 781551c0-4af6-438c-8080-598bbeca2efc · inbound
Normalizing Flows: An Introduction and Review of Current Methods cites this paper.
Normalizing Flows: An Introduction and Review of Current Methods Approximation Capabilities of Neural ODEs and Invertible Residual Networks
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T11:23:57.071760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1616411d-7ca3-4ffd-bac1-bc6bbe21372b · inbound
The Influence of the Memory Capacity of Neural DDEs on the Universal Approximation Property cites this paper.
The Influence of the Memory Capacity of Neural DDEs on the Universal Approximation Property Approximation Capabilities of Neural ODEs and Invertible Residual Networks
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:30:17.808362Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.